Update README.md

README.md

@@ -44,7 +44,7 @@ We use state-of-the-art [Language Model Evaluation Harness](https://github.com/E
 
 `garage-bAInd/Platypus2-70B` trained using STEM and logic based dataset [`garage-bAInd/Open-Platypus`](https://huggingface.co/datasets/garage-bAInd/Open-Platypus).
 
-Please see our [paper](https://platypus-llm.github.io/Platypus.pdf) and [project webpage](https://platypus-llm.github.io) for additional information.
+Please see our [paper](https://arxiv.org/abs/2308.07317) and [project webpage](https://platypus-llm.github.io) for additional information.
 
 ### Training Procedure
 
@@ -91,7 +91,14 @@ Llama 2 and fine-tuned variants are a new technology that carries risks with use
 Please see the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide/
 
 ### Citations
-
+```bibtex
+@article{platypus2023,
+    title={Platypus: Quick, Cheap, and Powerful Refinement of LLMs}, 
+    author={Ariel N. Lee and Cole J. Hunter and Nataniel Ruiz},
+    booktitle={arXiv preprint arxiv:2308.07317},
+    year={2023}
+}
+```
 ```bibtex
 @misc{touvron2023llama,
     title={Llama 2: Open Foundation and Fine-Tuned Chat Models},